ASSESSING MOTION BLUR WITHOUT REFERENCE

The expansion of mobile devices such as tablets and smartphones has resulted in an increase in the capture and distribution of multimedia content. The image quality can be degraded when motion blur occurs due to the movement of camera induced by handshake. Various sharpness assessment techniques have been designed to measure defocus blur, but these do not handle motion blur well. We propose a method for no-reference sharpness prediction of motionblurred images based on their spectral distribution.

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